Concerns Raised Over Unverified Datasets in AI Health Prediction Models

Key Details

• 1Researchers at QUT and AusHSI examined two popular health datasets on Kaggle used for stroke and diabetes prediction.
• 2These datasets have been cited in 125 peer-reviewed studies, with little to no information about data provenance.
• 3Three AI models trained on these datasets have been used in clinical practice; one was cited in a medical device patent.
• 4The datasets scored 0/9 on the TRIPOD+AI data provenance criteria, indicating they are unsuitable for clinical use.
• 5Seven articles based on these datasets have already been retracted as unreliable.
• 6Researchers urge journals, funders, and data repositories to enforce stricter data-source disclosure, and recommend removal of the problematic datasets.